Security and Performance of a Textual Substitution Compression Method Applied to Images

摘要

This paper discusses the performances and security of a textual substitution compression algorithm applied to images. This algorithm derives from the blending of the Lempel-Ziv compression methods and the Vector Quantization compression approach: it is called Adaptive Vector Quantization (AVQ). We review the performance and the security of AVQ and present new testing results on a specific set of medical images: the baropodometric images.